Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-dong, Gangnam-gu, Seoul 135-710, South Korea.
Lung Cancer. 2010 Jul;69(1):105-9. doi: 10.1016/j.lungcan.2009.09.014. Epub 2009 Dec 2.
The Response Evaluation Criteria in Solid Tumors (RECIST) has been revised (RECIST 1.1) since initial publication of RECIST 1.0 in 2000. Major changes in RECIST 1.1 involve lymph node measurement, the maximum number of target lesions, and the definition of disease progression (PD). The purpose of this study was to evaluate the accuracy of RECIST 1.1 for non-small cell lung cancer (NSCLC) patients being treated with epidermal growth factor receptor tyrosine kinase inhibitors (TKIs).
We compared responses of 104 NSCLC patients treated with TKIs from eight prospective studies using RECIST 1.0 and 1.1.
The short axis measurement for lymph nodes was the most influential change in RECIST 1.1 for the evaluation of response. Overall response rates (ORRs) using RECIST 1.0 and 1.1 were 35.6% and 38.5%, respectively. Under RECIST 1.1, six best responses were reclassified: two partial responses (PR) were re-categorized as complete responses, three cases of stable disease (SD) were reclassified as PR, and one case of SD was reclassified as PD. The progression-free survivals of three patients were extended. RECIST 1.1 showed a slightly increased ORR compared with RECIST 1.0.
RECIST 1.1 may reflect tumor burden more accurately than RECIST 1.0 in NSCLC patients treated with TKIs.
自 2000 年最初发布 RECIST 1.0 以来,实体瘤反应评估标准(RECIST)已经修订(RECIST 1.1)。RECIST 1.1 的主要变化涉及淋巴结测量、靶病变的最大数量和疾病进展(PD)的定义。本研究旨在评估 RECIST 1.1 用于接受表皮生长因子受体酪氨酸激酶抑制剂(TKIs)治疗的非小细胞肺癌(NSCLC)患者的准确性。
我们比较了 8 项前瞻性研究中 104 例接受 TKIs 治疗的 NSCLC 患者使用 RECIST 1.0 和 1.1 的反应。
短轴淋巴结测量是 RECIST 1.1 中评估反应最具影响力的变化。使用 RECIST 1.0 和 1.1 的总体缓解率(ORR)分别为 35.6%和 38.5%。根据 RECIST 1.1,六个最佳反应被重新分类:两个部分缓解(PR)被重新归类为完全缓解,三个稳定疾病(SD)的病例被重新归类为 PR,一个 SD 的病例被重新归类为 PD。三名患者的无进展生存期延长。与 RECIST 1.0 相比,RECIST 1.1 显示出稍高的 ORR。
与 RECIST 1.0 相比,RECIST 1.1 可能更准确地反映接受 TKIs 治疗的 NSCLC 患者的肿瘤负担。